The purpose of this paper is to examine the relationship between brand equity and financial performance and the moderation role of brand likeability retail banking sector.
Abstract
Purpose
The purpose of this paper is to examine the relationship between brand equity and financial performance and the moderation role of brand likeability retail banking sector.
Design/methodology/approach
The study is quantitative and employed the survey methodology to sample the views of 550 retail bank customers. Data were analyzed though the structuring equation modeling using AMOS.
Findings
The study found out that service quality, brand association, brand loyalty, and brand relevance positively and significantly predicted financial performance of the retail banks. In addition, brand likeability also moderates the relationship between brand equity and financial performance.
Originality/value
The study contributes to the ongoing research in examining the linkage between brand equity and financial performance. The study has also shown the value of brand likeability as a moderator of the brand equity-financial performance linkage. The strategic implication of the results are discussed in the paper.
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The purpose of this paper is to present a deep-learning-based beamforming method for phased array weather radars, especially whose antenna arrays are equipped with large number of…
Abstract
Purpose
The purpose of this paper is to present a deep-learning-based beamforming method for phased array weather radars, especially whose antenna arrays are equipped with large number of elements, for fast and accurate detection of weather observations.
Design/methodology/approach
The beamforming weights are computed by a convolutional neural network (CNN), which is trained with input–output pairs obtained from the Wiener solution.
Findings
To validate the robustness of the CNN-based beamformer, it is compared with the traditional beamforming methods, namely, Fourier (FR) beamforming and Capon beamforming. Moreover, the CNN is compared with a radial basis function neural network (RBFNN) which is a shallow type of neural network. It is shown that the CNN method has an excellent performance in radar signal simulations compared to the other methods. In addition to simulations, the robustness of the CNN beamformer is further validated by using real weather data collected by the phased array radar at Osaka University (PAR@OU) and compared to, besides the FR and RBFNN methods, the minimum mean square error beamforming method. It is shown that the CNN has the ability to rapidly and accurately detect the reflectivity of the PAR@OU with even less clutter level in comparison to the other methods.
Originality/value
Motivated by the inherit advantages of the CNN, this paper proposes the development of a CNN-based approach to the beamforming of PAR using both simulated and real data. In this paper, the CNN is trained on the optimum weights of Wiener solution. In simulations, it is applied on a large 32 × 32 planar phased array antenna. Moreover, it is operated on real data collected by the PAR@OU.
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The fund selection process of investors in a mutual fund needs to be understood for designing better marketing strategies. Knowledge and perception about the mutual funds can…
Abstract
Purpose
The fund selection process of investors in a mutual fund needs to be understood for designing better marketing strategies. Knowledge and perception about the mutual funds can affect investor’s behaviour towards information search and selection criteria during the decision process. Therefore, this study aims to examine Indian mutual fund investors under the framework of Theory of Planned Behaviour and consumer’s behaviour model.
Design/methodology/approach
The data have been collected from mutual fund investors in the National Capital Region–Delhi, India, through structured questionnaire. The collected data were examined with relevant statistical tools.
Findings
Knowledge and perception affect information search behaviour of the investor. Investors having better knowledge of mutual funds access impersonal sources of information and performance of fund affects their choice, whereas investors having lesser knowledge of mutual fund take advice of experts and select funds based on fund characteristics. Investors with better return perception for mutual funds ignore performance as selection criteria, whereas investors having poor risk perception tend to reduce their bias by accessing personal sources of information. Education and income of investor affect knowledge and perception of mutual funds.
Practical implications
The financial advisor-driven investors ignore performance as selection criteria and could lead to dissatisfaction later. Therefore, to make the industry investor driven, mutual funds need to focus on improving the knowledge of investors.
Originality/value
This paper shows the unique effect of knowledge and perception on information search behaviour of investors towards mutual funds. The knowledgeable investor selects mutual funds by understanding all risks and benefits.
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Meena Gupta, Prakash Kumar and Aniket Mishra
As the today's world is leading toward the digital dependency and after the world pandemic of COVID-19, the dependency of students and the university is completely through a…
Abstract
As the today's world is leading toward the digital dependency and after the world pandemic of COVID-19, the dependency of students and the university is completely through a digital medium, in context with that the higher education according to the demand of the generation is leading towards digital transformation. The digital transformation in the sector of education is the road map for the sustainable management and development of education. The digital transformation is the new pillar of education in which the students are mostly reliable. The digitalization in the field of education will lead to simple and clarified as well as multiple way for acquiring the knowledge. As the integration of the new model of education system is applied and implemented throughout the globe, the digital medium plays a significant role for the smooth and the systemic development of the model. In this chapter, the pathway for the development of the well-stable and well-developed strategies is considered in which the integration of the essential requirements, proper guidance, and advantages of the model is dependent for the transformation to digital medium of the higher education that will be leading to the development of the management and the education system. The foundation of that transformation model is detailed in the paper for the digitalization of higher education.
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There is no general theory of public enterprise, and the miscellanyof separate theorizations on the subject has created a conceptualquagmire. Examines the rather confusing state…
Abstract
There is no general theory of public enterprise, and the miscellany of separate theorizations on the subject has created a conceptual quagmire. Examines the rather confusing state of the research on public enterprise performance and behaviour. Contrary to conventional wisdom, it seems that in certain circumstances (as in the case of Singapore) public enterprise can be quite efficient, as well as an effective form of national competition.
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Investigates the relative effects of organizational and managerialfactors on the firm′s propensity to acquire new technology throughlicensing from foreign non‐affiliated…
Abstract
Investigates the relative effects of organizational and managerial factors on the firm′s propensity to acquire new technology through licensing from foreign non‐affiliated companies. Aims to contribute to the literature on the role of international licensing in the firm′s technology strategy by examining both licensee and non‐licensee firms. Finds that the two sets of factors make different but complementary contributions to the firm′s propensity to licence‐in foreign technology, with the managerial factors having far greater impact than the organizational factors. In addition, the individual factors have significantly different effects on the propensity to adopt licensing by licensee and non‐licensee firms in the sample. The results suggest that international licensors who look at both sets of factors in screening and selecting prospective licensees are more likely to be successful than those who look at one set of factors alone.
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Roger Marshall, David Bibby and WoonBong Na
Decision system analysis is a conceptually simple technique that maps the process of group decisions over time. The data is gathered in a variety of ways, but most often some form…
Abstract
Decision system analysis is a conceptually simple technique that maps the process of group decisions over time. The data is gathered in a variety of ways, but most often some form of protocol analysis is the foremost tool. The data is then condensed and depicted as a flowchart for a specific decision. If several such flowcharts can be assembled within an industry, they can be melded together to form a generic guide that is very useful to practitioners and very interesting to theorists. Here, a brief history of the development of the technique leads to a description of the process. This is followed by a comparison to cognitive mapping (a similar technique applied to mapping thought processes rather than physical processes), and an illustrative longitudinal example of DSA.
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There is no general theory of public enterprise (PE), and themiscellany of separate theorizations on the subject has created aconceptual quagmire. Advances some hypotheses gleaned…
Abstract
There is no general theory of public enterprise (PE), and the miscellany of separate theorizations on the subject has created a conceptual quagmire. Advances some hypotheses gleaned from the literature on the PE concerning confusion in the PE′s objective function, investment tendencies and cost of capital, “fairness” as international competitors, influence of the societal environment, and other major theoretical issues. Hypotheses are modified to accommodate the Singapore experience with PEs. Singapore represents a rare phenomenon – a case of a successful PE system.
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In this paper, the main objective will be to discuss the factors which can influence the usage of risk reducing strategies found in the literature over the past 30 years. Some of…
Abstract
In this paper, the main objective will be to discuss the factors which can influence the usage of risk reducing strategies found in the literature over the past 30 years. Some of the factors which have relatively consistent effects include age, socio‐economic group, education while other factors show complex effect e.g. self‐confidence, loss‐type and product risk. On the whole, the literature on risk reduction and how it is affected is unable to provide would‐be researchers with clear guidance for questionnaire construction and research design.
Katharina Maria Hofer, Lisa Maria Niehoff and Gerhard A. Wuehrer
In this study, we examine the influence of different components of dynamic capabilities on value-based pricing and export performance. We develop a research model investigating…
Abstract
In this study, we examine the influence of different components of dynamic capabilities on value-based pricing and export performance. We develop a research model investigating the three component factors of dynamic capabilities, that is, adaptive capability, absorptive capability, and innovative capability, and their respective influence on value-based pricing and export performance. Furthermore, we hypothesize a relationship between value-based pricing and export performance. Building upon a sample of 172 Austrian CEOs and marketing managers, we test our hypotheses through structural equation modeling using partial least squares. The results reveal that a firm’s adaptive capability and innovative capability both positively influence value-based pricing. Furthermore, our results show that adaptive capability has a positive influence on export performance. The relationship between value-based pricing and export performance could not be supported. Hence, we conclude that a firm’s adaptive capability plays a central role in international pricing and leads to enhanced export performance.